K-Tek Resourcing LLC
Sr. Big Data Engineer
K-Tek Resourcing LLC - Phoenix, Arizona, United States, 85003
Work at K-Tek Resourcing LLC
Overview
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Overview
K-Teks core business includes temporary staffing, permanent placement, and volume hiring. Our staffing solutions have grown significantly with global offices, enabling us to understand what works best for our clients and what doesnt. This key differentiator gives us a competitive edge.
Job Description
Hi, Please review the following and let us know if you are interested. Benefits include a good salary, benefits, relocation assistance, and travel expensesall provided. Position Type: Full-time only Locations: Phoenix, AZ; Washington, DC; Atlanta Must Have Skills:
Java (Expert level developer/engineer), Hadoop (expert level), strong communication skills (client interaction required) Mode of Interview:
Online test, phone rounds 1 and 2, final interview Position 1: Big Data Senior Software Engineer (10+ years experience)
Project: Development, coding, and technical roles Must Have Skills:
Java (expert level), Hadoop (expert level), strong communication skills Overall experience: 8-10 years Minimum Java experience: 6 years of development and coding Minimum Hadoop, Hive, Big Data experience: 3 years Description: Extensive server-side Java experience, especially in open source, data-intensive, distributed environments. Experience implementing high-end software products in telecom, financial, healthcare, or hospitality domains. Experience with open source projects; contributions are a plus. Deep knowledge of Java, J2EE, and EAI patterns. Experience handling projects with large data sizes (GB/PB) and high complexity. Understanding of architectural concepts like Multi-tenancy, SOA, SCA, and non-functional requirements such as performance and scalability. Strong grasp of algorithms, data structures, and performance optimization. Knowledge of database principles, SQL, and experience with large databases. Familiarity with complete SDLC and PDLC processes. Ability to work independently and in teams. Self-motivated and resourceful, capable of managing pressure. Experience with batch processing and real-time systems using open source technologies like Solr, Hadoop, NoSQL databases, Storm, Kafka, etc. Roles & Responsibilities:
Implement solutions for large data processing (GBs/PBs) using NoSQL, Hadoop, and MPP products. Participate in architecture and design discussions with Big Data clients. Collaborate with senior architects and provide implementation details to offshore teams. Conduct technical sessions, write whitepapers, and case studies on Big Data topics. Ensure timely and high-quality delivery of projects. Share knowledge within the organization through training and technical sessions. Additional Information
All information provided will be kept confidential in accordance with EEO guidelines. #J-18808-Ljbffr
Hi, Please review the following and let us know if you are interested. Benefits include a good salary, benefits, relocation assistance, and travel expensesall provided. Position Type: Full-time only Locations: Phoenix, AZ; Washington, DC; Atlanta Must Have Skills:
Java (Expert level developer/engineer), Hadoop (expert level), strong communication skills (client interaction required) Mode of Interview:
Online test, phone rounds 1 and 2, final interview Position 1: Big Data Senior Software Engineer (10+ years experience)
Project: Development, coding, and technical roles Must Have Skills:
Java (expert level), Hadoop (expert level), strong communication skills Overall experience: 8-10 years Minimum Java experience: 6 years of development and coding Minimum Hadoop, Hive, Big Data experience: 3 years Description: Extensive server-side Java experience, especially in open source, data-intensive, distributed environments. Experience implementing high-end software products in telecom, financial, healthcare, or hospitality domains. Experience with open source projects; contributions are a plus. Deep knowledge of Java, J2EE, and EAI patterns. Experience handling projects with large data sizes (GB/PB) and high complexity. Understanding of architectural concepts like Multi-tenancy, SOA, SCA, and non-functional requirements such as performance and scalability. Strong grasp of algorithms, data structures, and performance optimization. Knowledge of database principles, SQL, and experience with large databases. Familiarity with complete SDLC and PDLC processes. Ability to work independently and in teams. Self-motivated and resourceful, capable of managing pressure. Experience with batch processing and real-time systems using open source technologies like Solr, Hadoop, NoSQL databases, Storm, Kafka, etc. Roles & Responsibilities:
Implement solutions for large data processing (GBs/PBs) using NoSQL, Hadoop, and MPP products. Participate in architecture and design discussions with Big Data clients. Collaborate with senior architects and provide implementation details to offshore teams. Conduct technical sessions, write whitepapers, and case studies on Big Data topics. Ensure timely and high-quality delivery of projects. Share knowledge within the organization through training and technical sessions. Additional Information
All information provided will be kept confidential in accordance with EEO guidelines. #J-18808-Ljbffr